The main objective of this project is to create a software platform to manage and improve buildings' resources consumption while advancing cloud computing technologies. This project will explore the synergy of high-performance and availability requirements of the building's systems and cloud computing features through the creation of an extensible cloud-based platform for sustainability management
This research aims to develop a decision support system to assess the impact of suggested energy retrofits in buildings. This system will use machine learning (ML) algorithms to analyze the collected data from T-innovation Partners Inc. (TiP) installed meters, considering the building profile (e.g., building use). Moreover, this project will also construct a preventive maintenance system that uses ML and considers the profile and operating features of each device located in an electrical system to predict maintenance time to improve energy efficiency. Both systems will benefit TiP in opening new market opportunities; Facilities Management (FM) at Western University will benefit by having accurate retrofit plans that can be applied to other campus buildings. London Hydro will benefit by better understanding the needs of large customers.
The challenges to be addressed in this project include Big Data visualization specific to sensor data, simple interface design to access complex underlying Big Data analytics, integration of virtual reality and real-time metering, and assembling the storage and processing capabilities needed by sensor Big Data.
This project explores and advances Big Data analytics in the context of energy management. Smart meters data collect energy consumption following the Green Button Standard. The objective of this research project is to devise a comprehensive software framework for monitoring energy consumption and analyzing data provided by smart meters as well as for developing energy-related software applications. The two main components of this project are Energy Analytics Services and Energy Benchmarking Services.
The objective of this research project is to devise a generic and extendable software framework for on-line content management. Two main components will be developed: i) integrated data analytics services for click streams with other data such as weather and user location, and ii) a supply-side platform for advertising that will include an automated process for pricing online inventory.